Presentation + Paper
4 March 2022 Optical propagation in a marine environment: effects of turbulence spectrum choice on simulation
Author Affiliations +
Proceedings Volume 11993, Free-Space Laser Communications XXXIV; 119930J (2022) https://doi.org/10.1117/12.2615192
Event: SPIE LASE, 2022, San Francisco, California, United States
Abstract
Optical propagation in a marine environment is important to understand for many applications. In particular, free space optical communication can be significantly impacted by surges and fades in signal strength caused by scintillation. For over ten years, the United States Naval Research Laboratory has maintained a 16 km free space optical link across the Chesapeake Bay at our Lasercom Test Facility. This laboratory has continuously recorded scintillation, as well as environmental parameters. Recently, we have begun a modeling and simulation effort. Fundamental models like the Naval Postgraduate School’s NAVSLaM are used to predict turbulence parameters based on weather measurements. Wave optics simulation, using these parameters, is then used to predict scintillation. These predictions are then compared to measurements. Wave optics simulation requires an underlying model of the spectrum of turbulence. A variety of turbulence spectra have been proposed, including the Kolomogorov, Von Karman, Hill and Marine spectra. In this talk we compare wave optics simulation, using these spectra, to experimental measurements, and examine which spectra best match the data.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William S. Rabinovich, Rita Mahon, Mike S. Ferraro, Christopher I. Moore, and Andrew Coffee "Optical propagation in a marine environment: effects of turbulence spectrum choice on simulation", Proc. SPIE 11993, Free-Space Laser Communications XXXIV, 119930J (4 March 2022); https://doi.org/10.1117/12.2615192
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KEYWORDS
Scintillation

Ocean optics

Turbulence

Monte Carlo methods

Data modeling

Environmental sensing

Optical simulations

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